Triple
T37213111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Scugog |
E922660
|
entity |
| Predicate | adjacentCityOrTown |
P193162
|
FINISHED |
| Object | Port Perry |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Port Perry | Statement: [Lake Scugog, adjacentCityOrTown, Port Perry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentCityOrTown Context triple: [Lake Scugog, adjacentCityOrTown, Port Perry]
-
A.
adjacentMajorCity
Indicates that one major city is geographically next to or directly bordering another major city.
-
B.
adjacentCityOnLine
Indicates that one city is directly next to another city along the same transportation line or route.
-
C.
adjacentCitySouth
Indicates that one city is directly to the south of another city, sharing a common boundary or being immediately neighboring in that direction.
-
D.
neighboringTownship
Indicates that two townships share a common boundary and are directly adjacent to each other.
-
E.
neighbouringMunicipality
Indicates that one municipality directly borders and is adjacent to another municipality.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: May 3, 2026, 4:15 p.m.